Wideband technologies in the unlicensed spectrum can satisfy the ever-increasing demands for wireless bandwidth created by emerging rich media applications. The key challenge for such systems, however, is to allow narrowband technologies that share these bands (say, 802.11 a/b/g/n, Zigbee) to achieve their normal performance, without compromising the throughput or range of the wideband network.

This project presents SWIFT, the first system where high-throughput wideband nodes are shown in a working deployment to coexist with unknown narrowband devices, while forming a network of their own. Prior work avoids narrowband devices by operating below the noise level and limiting itself to a single contiguous unused band. While this achieves coexistence, it sacrifices the throughput and operating distance of the wideband device. In contrast, SWIFT creates highthroughput wireless links by weaving together non-contiguous unused frequency bands that change as narrowband devices enter or leave the environment. This design principle of cognitive aggregation allows SWIFT to achieve coexistence, while operating at normal power, and thereby obtaining higher throughput and greater operating range. We implement SWIFT on a wideband hardware platform, and evaluate it in the presence of 802.11 devices. In comparison to a baseline that coexists with narrowband devices by operating below their noise level, SWIFT is equally narrowband-friendly but achieves 3.6−10.5× higher throughput and 6× greater range.

Learning to Share: Narrowband-Friendly Wideband Wireless Networks,
Hariharan Rahul, Nate Kushman, Dina Katabi, Charles Sodini, and Farinaz Edalat,
ACM SIGCOMM, 2008. PDF

Hariharan Rahul
Massachusetts Institute of Technology

Nate Kushman
Massachusetts Institute of Technology

Dina Katabi
Massachusetts Institute of Technology

Charles Sodini
Massachusetts Institute of Technology

Farinaz Edalat
RKF Engineering Solutions, LLC